Lingsong Li

2.8k citations
65 papers · 2.0k · h-index 22

Impact in

Papers in

    • Pluripotent Stem Cells Research 18
    • CRISPR and Genetic Engineering 10
    • Renal and related cancers 5
    • RNA Research and Splicing 5
    • Pancreatic function and diabetes 4

Lingsong Li

64 papers receiving 2.0k citations

Peers

Lingsong Li
Comparison fields: 5 of 126
  • Developmental Neuroscience 134
  • Genetics 344
  • Hepatology 142
  • Radiology, Nuclear Medicine and Imaging 310
  • Molecular Biology 944
Replace Franca Casagranda with:
Franca Casagranda Australia
Thomas D. Arnold United States
Kenji Osafune Japan
Soon Won Choi South Korea
Hitomi Aoki Japan
Susanne Adams Germany
Michael J. Edel Spain
K. N. Yarygin Russia
Peetra U. Magnusson Sweden
Ji Min Yu South Korea
Lingsong Li relative to Franca Casagranda Australia Franca Casagranda's profile →
Citations per field
00.5×4.6×
Franca Casagranda · 1×
Citations per year

Countries citing papers authored by Lingsong Li

Since Specialization
Citations

This map shows the geographic impact of Lingsong Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lingsong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingsong Li more than expected).

Fields of papers citing papers by Lingsong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingsong Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lingsong Li. The network helps show where Lingsong Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Lingsong Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lingsong Li Line = papers co-authored together Lingsong Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005281
2 2009158
3 2014131
4 2009100
5 200787
6 200480
7 200973
8 201367
9
Functional reconstruction of rabbit corneal epithelium by human limbal cells cultured on amniotic membrane.
200365
10 201361
11 201061
12 200460
13 200859
14 201758
15 201049
16 200842
17 200438
18 200535
19 200432
20 200827

About Lingsong Li

Lingsong Li is a scholar working on Molecular Biology, Surgery, Developmental Neuroscience, Genetics and Cellular and Molecular Neuroscience, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Renal and related cancers (5 papers), RNA Research and Splicing (5 papers), Mesenchymal stem cell research (5 papers), Pancreatic function and diabetes (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Developmental Neuroscience (134 citations), Genetics (344 citations), Hepatology (142 citations), Radiology, Nuclear Medicine and Imaging (310 citations) and Molecular Biology (944 citations). Lingsong Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhifeng Xiao, Jinhua Wen, Shuling Wang, Yiqin Du, Yanling Ma, Yongsheng Xu, Wei Yang, Chun Zhang, Eun Kyoo Song and Yaxian Kong. Their work appears in journals such as Biochemical and Biophysical Research Communications, Neuroreport, Stem Cells, Stem Cells and Development and Cellular Reprogramming.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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